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NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 7 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
BMCBI
2010
131views more  BMCBI 2010»
13 years 5 months ago
A two-step site and mRNA-level model for predicting microRNA targets
Background: Despite experiments showing that the number of microRNA (miRNA) target sites is critical for miRNA targeting, most existing methods focus on identifying individual miR...
Takaya Saito, Pål Sætrom
ETRA
2008
ACM
235views Biometrics» more  ETRA 2008»
13 years 9 months ago
Using semantic content as cues for better scanpath prediction
Under natural viewing conditions, human observers use shifts in gaze to allocate processing resources to subsets of the visual input. There are many computational models that try ...
Moran Cerf, E. Paxon Frady, Christof Koch
TSE
2002
105views more  TSE 2002»
13 years 7 months ago
Disaggregating and Calibrating the CASE Tool Variable in COCOMO II
CASE (Computer Aided Software Engineering) tools are believed to have played a critical role in improving software productivity and quality by assisting tasks in software developme...
Jongmoon Baik, Barry W. Boehm, Bert Steece
DCEIS
2006
13 years 9 months ago
Semantic Coherence in Software Engineering
During software engineering processes lots of artifacts are produced to document the development of a concrete software. For artifacts which are related with respect to their meani...
Michael Skusa